The Lancet

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
C&EN

A Comprehensive Machine Learning Model for Metal–Ligand Binding Prediction: Applications ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
Frontiers

Integrated bioinformatic analysis and machine learning developed a prognostic model based ...

The disease burden of acute myeloid leukemia (AML) continues to pose a significant public health challenge globally. Mitochondria play a critical role in tumor development and progression by ...
blockchain

List of AI News about machine learning API

According to DeepLearning.AI, Robert Crowe from Google will present Flax NNX, a new API designed to streamline neural network development in JAX, at the upcoming AI Dev 25 x NYC conference. Flax NNX ...
GitHub

Dockerize and deploy machine learning model as REST API using Flask

A simple Flask application that can serve predictions machine learning model. Reads a pickled sklearn model into memory when the Flask app is started and returns predictions through the /predict ...
Frontiers

Evaluating machine learning models for stroke prediction based on clinical variables

Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as the Framingham ...
C&EN

Multimodal Machine Learning with Large Language Embedding Model for Polymer Property Prediction

Department of Materials Science and Engineering, University of Delaware, Newark, Delaware 19716, United States Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104, ...
IEEE

OpenApi Workflows for Model and Format Conversion of Machine Learning Frameworks

Abstract: Various machine learning frameworks have their format in which they accept the model. ONNX is an open format. These models are the representation of the neural network with weights after ...